Neural Network based control of Doubly-Fed Induction Generator in wind power generation
نویسندگان
چکیده
منابع مشابه
Review on Wind Power Generation With Doubly Fed Induction Generator
This paper presents the review of the Doubly fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS). Basically the various challenges of the grid connected DFIG based wind turbine has been highlighted in this review. Nonlinear model of wind turbine with DFIG configuration are explained and a 1.2 MW, 50 Hz, 6 pole DFIG simulated using MATLAB/SIMULINK. Some important control is...
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This chapter introduces the operation and control of a Doubly-fed Induction Generator (DFIG) system. The DFIG is currently the system of choice for multi-MW wind turbines. The aerodynamic system must be capable of operating over a wide wind speed range in order to achieve optimum aerodynamic efficiency by tracking the optimum tip-speed ratio. Therefore, the generator’s rotor must be able to ope...
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The aim of this paper is to propose different methods of control for a Doubly-Fed Induction Generator (DFIG) used in wind energy conversion systems. This paper presents a comparative study on the performance of three control methods for DFIG wind turbine. The study focuses on the regulation of the active and reactive power exchanged between the generator and the grid by the generator inverter u...
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ژورنال
عنوان ژورنال: IOSR Journal of Electrical and Electronics Engineering
سال: 2012
ISSN: 2278-1676
DOI: 10.9790/1676-0163540